*Photo Contest* Big Data to Predict and Prevent Diabetes

Scientists tell the story of their research in ONE image, in the AXA Research Fund Photo Contest. Vote for your favorite!

“The tradition of conveying medical information in static specimens and models is giving way to the new world of digital information, including retinal imaging, which my research using electronic health records exploits.”
– Helen Colhoun

Big Data to Predict and Prevent Diabetes

Diabetes has far-reaching consequences, including increased risk of other serious diseases and the associated challenges for public health and the economy. Prof. Helen Colhoun aims to advance personalized medicine for this and other chronic diseases. Taking advantage of a unique data set from 330,000 patients’ electronic health records, she is developing the necessary algorithms to improve predictive models of diabetes and complications risk. Her research will also identify individual and collective measures to drive healthy behaviors for disease prevention.


Vote for this photo by "liking" it in the AXA RF Photo Contest's Facebook Gallery!

See all the creative entries in the research photo challenge.

Vote for your favorite by September 25, 2016!

Prof. Helen Colhoun’s Research Project:

AXA Chair in Medical informatics and life Course Epidemiology

Science is Beautiful!

Visit the Media Gallery to learn more about the AXA Research Fund photo contest.